The Challenge

Financial institutions constantly battle evolving fraud tactics across various channels (online transactions, credit applications, insurance claims). Traditional rule-based systems struggle to keep pace with sophisticated fraudsters, leading to significant financial losses and damage to customer trust. Detecting complex fraud patterns hidden within vast amounts of transaction data in real-time is a major challenge.

Challenges are detailed in the description above.

The Jedi Approach

JEDI Ensemble™

Jedi Labs employs a multi-layered AI approach using JEDI Ensemble™ and JEDI Rules™.

JEDI Ensemble™

JEDI Ensemble™ analyzes diverse data streams (transaction details, user behavior, device information, network data) in real-time, identifying subtle anomalies and complex patterns indicative of fraud that static rules miss.

JEDI Monitor™ provides continuous oversight, tracking model performance and alerting teams to potential drift or new attack patterns, ensuring the system remains effective.

Key Capabilities Delivered

JEDI Rules™ provides a flexible engine to implement dynamic risk scoring and automated actions based on the insights generated
JEDI Ensemble™ allows for immediate blocking of high-risk transactions or flagging for manual review.

Expected Results

Agents that adapts continuously to new fraud vectors.
Jedi Labs employs a multi-layered AI approach using JEDI Ensemble™ and JEDI Rules™ where agents catch incidents before they happen